Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddingsby Albert…
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecastingby Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen…
Reduced storage direct tensor ring decomposition for convolutional neural networks compressionby Mateusz Gabor, Rafał ZdunekFirst…
Restless Linear Banditsby Azadeh KhaleghiFirst submitted to arxiv on: 17 May 2024CategoriesMain: Machine Learning (stat.ML)Secondary:…
Generative modeling through internal high-dimensional chaotic activityby Samantha J. Fournier, Pierfrancesco UrbaniFirst submitted to arxiv…
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactionsby Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier,…
The Future of Large Language Model Pre-training is Federatedby Lorenzo Sani, Alex Iacob, Zeyu Cao,…
Improving face generation quality and prompt following with synthetic captionsby Michail Tarasiou, Stylianos Moschoglou, Jiankang…
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecastingby Ziyou Guo, Yan Sun, Tieru…
A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identificationby D. Subhalingam, Keshav Kolluru, Mausam,…